03rd week of 2022 patent applcation highlights part 47 |
Patent application number | Title | Published |
20220019888 | UNIFIED FRAMEWORK FOR DYNAMIC CLUSTERING AND DISCRETE TIME EVENT PREDICTION - A single unified machine learning model (e.g., a neural network) is trained to perform both supervised event predictions and unsupervised time-varying clustering for a sequence of events (e.g., a sequence representing a user behavior) using sequences of events for multiple users using a combined loss function. The unified model can then be used for, given a sequence of events as input, predict a next event to occur after the last event in the sequence and generate a clustering result by performing a clustering operation on the sequence of events. As part of predicting the next event, the unified model is trained to predict an event type for the next event and a time of occurrence for the next event. In certain embodiments, the unified model is a neural network comprising a recurrent neural network (RNN) such as an Long Short Term Memory (LSTM) network. | 2022-01-20 |
20220019889 | EDGE ARTIFICIAL INTELLIGENCE DEVICE AND METHOD - An edge AI method and device are provided. The device includes one or more first neural network layers and one or more second neural network layers, each including plural second cells, where one first neural network layer, of the one or more first neural network layers, is connected to one second neural network layer of the one or more second neural network layers, and, for an operation of the one or more first neural network layers and the one or more second neural network layers, the device is configured to perform the operation according to first weight information, of the one or more first neural network layers, received from and trained outside of the device, and the device is configured to perform the operation according to second weight information, of the one or more second neural network layers, based on training of the second weight information by the device. | 2022-01-20 |
20220019890 | METHOD AND DEVICE FOR CREATING A MACHINE LEARNING SYSTEM - A method for creating a machine learning system. The method includes: providing a directed graph including an input and an output node, each edge being assigned a probability that characterizes at which probability an edge is drawn. The probabilities are initially set to a value that paths are drawn at the same probability starting from the particular edge up to the output node. | 2022-01-20 |
20220019891 | ELECTRONIC DEVICE AND LEARNING METHOD FOR LEARNING OF LOW COMPLEXITY ARTIFICIAL INTELLIGENCE MODEL BASED ON SELECTING DYNAMIC PREDICTION CONFIDENCE THRESHOLD - The present invention is related to the electronic device and learning method for learning of low complexity artificial intelligence model based on selecting dynamic prediction confidence threshold. | 2022-01-20 |
20220019892 | DIALYSIS EVENT PREDICTION - A method for training a predictive model includes training a dual-channel neural network model, which includes a static channel to process static information and a dynamic channel to process temporal information, to generate a probability score that characterizes a likelihood of a health event occurring during a dialysis procedure, based on static profile information and temporal measurement information. An augmented model is trained to generate an importance score associated with the probability score, based on the static profile information and the temporal measurement information. | 2022-01-20 |
20220019893 | DISTANCE ESTIMATION TO OBJECTS AND FREE-SPACE BOUNDARIES IN AUTONOMOUS MACHINE APPLICATIONS - In various examples, a deep neural network (DNN) is trained—using image data alone—to accurately predict distances to objects, obstacles, and/or a detected free-space boundary. The DNN may be trained with ground truth data that is generated using sensor data representative of motion of an ego-vehicle and/or sensor data from any number of depth predicting sensors—such as, without limitation, RADAR sensors, LIDAR sensors, and/or SONAR sensors. The DNN may be trained using two or more loss functions each corresponding to a particular portion of the environment that depth is predicted for, such that—in deployment—more accurate depth estimates for objects, obstacles, and/or the detected free-space boundary are computed by the DNN. In some embodiments, a sampling algorithm may be used to sample depth values corresponding to an input resolution of the DNN from a predicted depth map of the DNN at an output resolution of the DNN. | 2022-01-20 |
20220019894 | NEURAL NETWORK-BASED CONFIDENCE ASSESSMENT MODULE FOR HEALTHCARE CODING APPLICATIONS - A system including a confidence assessment module that implements a neural network to assess the likelihood that codes associated with a patient's encounter with a healthcare organization are accurate. The confidence assessment module may also be incrementally trained. | 2022-01-20 |
20220019895 | METHOD AND APPARATUS WITH NEURAL NETWORK OPERATION PROCESSING - A processor-implemented neural network method includes: obtaining a first weight kernel of a weight model and pruning information of the first weight kernel; determining, based on the pruning information, a processing range of an input feature map for each weight element vector of the first weight kernel; performing a convolution operation between the input feature map and the first weight kernel based on the determined processing range; and generating an output feature map of a neural network layer based on an operation result of the convolution operation. | 2022-01-20 |
20220019896 | MODIFYING COMPUTATIONAL GRAPHS - Methods, systems, and apparatus, including computer programs encoded on computer storage media, for modifying a computational graph to include send and receive nodes. Communication between unique devices performing operations of different subgraphs of the computational graph can be handled efficiently by inserting send and receive nodes into each subgraph. When executed, the operations that these send and receive nodes represent may enable pairs of unique devices to conduct communication with each other in a self-sufficient manner. This shifts the burden of coordinating communication away from the backend, which affords the system that processes this computational graph representation the opportunity to perform one or more other processes while devices are executing subgraphs. | 2022-01-20 |
20220019897 | DEEP NEURAL NETWORK TRAINING ACCELERATOR AND OPERATION METHOD THEREOF - A deep neural network training accelerator includes an operational unit sequentially performing first and second operations on a plurality of input data of a sub-set according to a mini-batch gradient descent, a determination unit determining each of the input data as one of skip data and training data based on a confidence matrix obtained by the first operation, and a control unit controlling the operational unit to skip the second operation with respect to the skip data. | 2022-01-20 |
20220019898 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - An information processing method executed by a computer, the method includes inputting training data to a machine learning model that includes a convolution layer and acquire an output result by the machine learning model; extracting a specific element that meets a specific condition from among elements included in error information based on an error between the training data and the output result; and performing machine learning of the convolution layer using the specific element. | 2022-01-20 |
20220019899 | DETECTION LEARNING DEVICE, METHOD, AND PROGRAM - A weft-balanced detector can be trained in the vicinity of a desired TPR or PPR. A range determined by an upper limit and a lower limit of a. true positive rate or a false positive rate for defining a part of an area under a ROC curve is set so as to be narrowed at each repetition, a score function is trained so as to optimize an objective function represented using positive example data selected from ranked positive example data, negative example data, and the score function that calculates a score representing likelihood of a positive example according to the set range between the upper limit and the lower limit of the true positive rate or the false positive rate, the positive example data is ranked, the maximization learning unit and the ranking unit repeats the processing until the objective function is converged, and the region-to-be-maximized setting unit repeats setting until the range between the upper limit and the lower limit of the true positive rate or the false positive rate becomes a predetermined size. | 2022-01-20 |
20220019900 | METHOD AND SYSTEM FOR LEARNING PERTURBATION SETS IN MACHINE LEARNING - A computer-implemented method for training a neural network, comprising receiving an input data, defining a perturbed version of the input data in response to a dimensional latent vector and the input data, training a variational auto encoder (VAE) utilizing the perturbed version of the input data, wherein the VAE outputs, utilizing an encoder, a latent vector in response to the input data and the perturbed version of the input data, decoding the latent vector, utilizing a decoder of the VAE, back to an input latent space to output a perturbed example, and outputting a learned perturbed set utilizing one or more perturbed examples and upon convergence to a first threshold. | 2022-01-20 |
20220019901 | MANAGING DISTRIBUTED LEDGER STORAGE SPACE - An example operation includes one or more of receiving a block, extracting information from the block, correlating an identifier to the information as previously stored in a first storage area, replacing the information in the block with the identifier, and submitting the block with the identifier for storage in a second storage area. The identifier links to the information previously stored in the first storage area in order to allow for recovery of the information, and at least the second storage area is in a blockchain. | 2022-01-20 |
20220019902 | METHODS AND SYSTEMS FOR TRAINING A DECISION-TREE BASED MACHINE LEARNING ALGORITHM (MLA) - Methods and servers for of training a decision-tree based Machine Learning Algorithm (MLA) are disclosed. During a given training iteration, the method includes generating prediction values using current generated trees, generating estimated gradient values by applying a loss function, generating a first plurality of noisy estimated gradient values based on the estimated gradient values, generating a plurality of noisy candidate trees using the first plurality of noisy estimated gradient values, applying a selection metric to select a target tree amongst the plurality of noisy candidate trees, generating a second plurality of noisy estimated gradient values based on the plurality of estimated gradient values, generating an iteration-specific tree based on the target tree and the second plurality of noisy estimated gradient values, and storing, the iteration-specific tree to be used in combination with the current generated trees. | 2022-01-20 |
20220019903 | ASSIGNMENT DEVICE, ASSIGNMENT METHOD, AND PROGRAM - An assignment device includes an input receiving unit configured to receive as input the number of cities of a traveling salesman problem, an assignment unit configured to assign, to nodes of a Chimera graph, binary variables according to the number of cities of the traveling salesman problem represented as a QUBO problem, and an output unit configured to output information indicating a correspondence between the binary variables and the nodes on the basis of an assignment result of the binary variables to the nodes. The assignment unit assigns, to the nodes connected to each other by an edge in the Chimera graph, a pair of the binary variables appearing as a product in an objective function of the QUBO problem in preference to a pair of binary variables not appearing as a product in the objective function of the QUBO problem. | 2022-01-20 |
20220019904 | NETWORK OF KNOWLEDGE USING A COMMON COMMUNICATION PROTOCOL - A network of knowledge that combines different AI bots using a common communication NOK protocol, using a designated bot as a gateway through which all queries are passed while using the NOK protocol is used to draw information and capabilities from member bots transparently to the user. Eagerness scores are derived for each member and each query, indicating a given bot's ability to respond well to the query, and eagerness may be used to provide recommendations to the gateway for a specific member to handle a given query. | 2022-01-20 |
20220019905 | ENTERPRISE KNOWLEDGE GRAPH BUILDING WITH MINED TOPICS AND RELATIONSHIPS - Examples described herein generally relate to a computer system including a knowledge graph storing a plurality of entities. A mining of a set of enterprise source documents within an enterprise intranet is performed using singular value decomposition (SVD) to determine a plurality of entity names. Using SVD, relevant and trending entity names are accumulated, aggregated, and ranked. An entity record is generated within a knowledge graph for a mined entity name from the linked entity names based on an entity schema and ones of the set of enterprise source documents associated with the mined entity name. The entity record includes attributes aggregated from the ones of the set of enterprise source documents associated with the mined entity name. | 2022-01-20 |
20220019906 | TECHNICAL KNOWLEDGE PREDICTION APPARATUS, METHOD, AND PROGRAM - Technical knowledge which is difficult for the expert to express in words or numerical form is predicted and reproduced. A technical knowledge prediction apparatus according to one embodiment of the present invention includes a problem setting unit configured to automatically create and set a problem which includes a control factor of a manufacturing step, and a variable of the control factor, an answer acquiring unit configured to acquire an answer with respect to the problem and indicating a decision of the manufacturing step, a query acquiring unit configured to acquire a query, and a prediction output unit configured to predict and output an answer corresponding to the query acquired by the query acquiring unit, based on a corresponding relationship between the problem and the answer. | 2022-01-20 |
20220019907 | Dynamic In-Memory Construction of a Knowledge Graph - In an approach for a dynamic in-memory construction of a knowledge graph structure, the knowledge graph structure comprising a plurality of nodes and edges linking selected nodes to each other, a processor receives a record comprising a plurality of strings. The plurality of strings relates to a command combined with a set of strings. A processor determines content records relating to nodes relating to each of the strings. A processor assigns node identifiers for respective determined content records. A processor appends the node identifiers to a dynamic in-memory knowledge graph structure. A processor modifies an edge between selected ones of the node identifiers based on the command combined with the set of strings. A processor builds the dynamic in-memory knowledge graph structure. | 2022-01-20 |
20220019908 | ENTERPRISE KNOWLEDGE GRAPHS USING USER-BASED MINING - Examples described herein generally relate to a computer system including a knowledge graph storing a plurality of entities. A mining of a set of enterprise source documents within an enterprise intranet is performed, by a user-based mining system, to determine a plurality of entity names. An entity record is generated within a knowledge graph for a mined entity name from the linked entity names based on an entity schema and ones of the set of enterprise source documents associated with the mined entity name. The entity record includes attributes aggregated from the ones of the set of enterprise source documents associated with the mined entity name. | 2022-01-20 |
20220019909 | INTENT-BASED COMMAND RECOMMENDATION GENERATION IN AN ANALYTICS SYSTEM - Methods, systems, and computer storage media for providing command recommendations for an analysis-goal, using analytics system operations in an analytics systems. In operation, an analytics client is configured to provide an analytics interface for receiving a selection of analysis-goal information that corresponds to an analysis-goal model. A goal engine selects an analysis-goal based on the analysis-goal information. A command engine is configured to use the analysis-goal and goal-driven models to predict probable commands for the analysis goal. The command engine also selects a next command recommendation from the probable commands. The command engine generates additional command recommendation data based on a loss function fine tuner. The additional command recommendation data can include a goal orientation score that quantifies a degree to which a command aligns with the analysis-goal. The next command recommendation and additional command recommendation output data are communicated and caused to be displayed on the analytics interface. | 2022-01-20 |
20220019910 | COMPUTER-AUTOMATED ANALYSIS AND VALIDATION SYSTEMS FOR DATA MODELS - A system includes a processor and a memory storing instructions. The instructions include, in response to receiving a first input indicating a first data model from a user device, obtaining the first data model and identifying objects within the first data model. The instructions include obtaining a set of rules and, for each rule of the set of rules, applying the rule to each object to determine an adherence of the object to the rule or a violation of the object of the rule. The instructions include generating a report that indicates, for each rule and for each object, the adherence of the object to the rule or the violation of the object of the rule and calculating an adherence score based on an overall adherence of the objects to the set of rules. The instructions include transmitting, for display on the user device, the generated report and adherence score. | 2022-01-20 |
20220019911 | PREDICTIVE MODELS HAVING DECOMPOSABLE HIERARCHICAL LAYERS CONFIGURED TO GENERATE INTERPRETABLE RESULTS - A computer-implemented method for providing interpretable predictions from a machine learning model includes receiving a data structure that represents a hierarchical structure of a set of features (X) used by one or more predictive models to generate a set of predictions (Y). An interpretability model is built corresponding to the predictive models, by assigning an interpretability to each prediction Y | 2022-01-20 |
20220019912 | CONTENT RECOMMENDATIONS BASED UPON HISTORICAL FUTURE DATA - One or more computing devices, systems, and/or methods for content recommendations using historical future data are provided. A model serving delay time is computed as an average of training delays of events. A historical data time interval is determined based upon the model serving delay time. A model is trained for predicting user content preferences using historic user distribution data and historic content distribution data associated with the historic data time interval. The model is utilized to generate and provide content recommendations to users. | 2022-01-20 |
20220019913 | WEIGHTED ADAPTIVE FILTERING BASED LOSS FUNCTION TO PREDICT THE FIRST OCCURRENCE OF MULTIPLE EVENTS IN A SINGLE SHOT - There is a need for more effective and efficient prediction data analysis. This need can be addressed by, for example, solutions for performing first-occurrence multi-disease prediction. In one example, a method includes determining a per-event-type loss value for each event type of a group of event types; determining a cross-event-type loss value based at least in part on each per-event-type loss value; training a multi-event-type prediction model based at least in part on the cross-event type loss value; generating a first-occurrence prediction based at least in part on the multi-event-type prediction model, wherein the first occurrence-prediction comprises a first-occurrence prediction item for each event type of the group of event types; and performing one or more prediction-based actions based at least in part on the first-occurrence prediction. | 2022-01-20 |
20220019914 | PREDICTIVE DATA ANALYSIS TECHNIQUES FOR CROSS-TEMPORAL ANOMALY DETECTION - There is a need for more effective and efficient predictive anomaly detection. This need can be addressed by, for example, solutions for performing anomaly detection using an anomaly detection machine learning model. In one example, a method includes: identifying a plurality of event records; for each event record of the plurality of event records, determining a temporally-related event code data object based at least in part on a temporally-related subset of the one or more event codes that is associated with the event record; generating one or more event record profiles based on each temporally-related event code data object; processing the one or more event record profiles using an anomaly detection machine learning model to generate one or more anomaly detection predictions; and performing one or more prediction-based actions based at least in part on the one or more anomaly detections. | 2022-01-20 |
20220019915 | SYSTEMS AND METHODS FOR DESIGN PARAMETER SELECTION - Systems and methods as disclosed for selecting parameters for use by a system. The parameters can describe a behavior of the system, which can be represented by a model having an input and an output. The model can include an operation representable by a matrix. The parameters can include the input and output ranges of the operation, the dimensions of the matrix, a noise value for the system, and an overflow probability. A design environment can be configured to determine values or ranges of values for one or more of the parameters based on values or ranges of values of the remaining parameters. In some embodiments, the design environment can select, recommend, or validate a choice of datatype, minimum system noise, or the dimensions of the matrix. The model can be used to generate code, which can be used to configure the system to perform the operation. | 2022-01-20 |
20220019916 | APPARATUS AND METHOD FOR RECOMMENDING FEDERATED LEARNING BASED ON TENDENCY ANALYSIS OF RECOGNITION MODEL AND METHOD FOR FEDERATED LEARNING IN USER TERMINAL - Disclosed herein are an apparatus and method for recommending federated learning based on recognition model tendency analysis. The method for recommending federated learning based on recognition model tendency analysis in a server device may include analyzing the tendency of a recognition model trained using reinforcement learning by each of multiple user terminals, grouping the multiple user terminals according to the tendency of the recognition model, and transmitting federated-learning group information including information about other user terminals grouped together with at least one of the multiple user terminals. | 2022-01-20 |
20220019917 | EVALUATION DEVICE, EVALUATION METHOD, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM - An evaluation device according to the present application includes: an acquisition unit which acquires modified content generated by a generation model which generates modified content in which a part of content is modified in a modifying manner based on a modification policy and the modification policy used upon generating the modified content; and an evaluation unit which evaluates whether the modified content acquired by the acquisition unit is content in which modification matching the modification policy acquired by the acquisition unit is made, by using an evaluation model which evaluates whether inputted content is content in which modification matching an inputted modification policy is made. | 2022-01-20 |
20220019918 | MACHINE LEARNING FEATURE RECOMMENDATION - A pre-trained model trained to predict a measure of expected model performance based at least in part on a feature relevance score associated with a text field data type is generated. A specification of a desired target field for machine learning prediction and one or more text fields storing input content is received. A corresponding feature relevance score for each of the one or more text fields storing the input content is calculated. Based on the corresponding calculated feature relevance scores, a corresponding measure of expected model performance for each of the one or more text fields storing the input content is predicted using the pre-trained model. The predicted measures of expected model performance are provided for use in feature selection among the one or more text fields storing the input content for generating a machine learning model to predict the desired target field. | 2022-01-20 |
20220019919 | Method And System For A Reduced Computation Hidden Markov Model In Computational Biology Applications - A system and method for a reduced computation hidden markov model (HMM) in computational biology applications is disclosed herein. The method includes performing a correlation between the haplotype sequence and the read sequence at the HMM pre-filter engine. The method includes computing a HMM metric from a reduced number of cells at the HMM computation engine. | 2022-01-20 |
20220019920 | EVIDENCE DECAY IN PROBABILISTIC TREES VIA PSEUDO VIRTUAL EVIDENCE - Evidence decay in PGMs is achieved using virtual evidence nodes that create and send lambda messages that when combined with the other evidence force specified beliefs onto the decaying evidence nodes. The virtual evidence nodes compute a step along a path from the decaying node's current belief to a target belief to determine the specified belief. Belief propagation is executed to process the pi and lambda messages to update the current beliefs for all nodes. Observation evidence is removed from the model. For each decaying node, belief propagation is executed absent the evidence of that node to generate an updated target belief. Following an observation, the node's belief will decay in a smooth, continuous manner. | 2022-01-20 |
20220019921 | ELECTRONIC DEVICE FOR INCREMENTAL LOSSLESS SUMMARIZATION OF MASSIVE GRAPH AND OPERATING METHOD THEREOF - Various embodiments may provide an electronic device for incremental lossless summarization of a dynamic massive graph and an operating method thereof. In the electronic device and the operating method thereof according to various embodiments, a summary graph created from a massive graph and the differences between the massive graph and the summary graph may be stored, a changed edge may be detected from the massive graph, changed nodes connected by the changed edge may be detected based on the changed edge, and the summary graph and the edge corrections may be updated based on each of the changed nodes. | 2022-01-20 |
20220019922 | SYSTEMS AND METHODS FOR SELECTING CONTENT USING A MULTIPLE OBJECTIVE, MULTI-ARM BANDIT MODEL - An electronic device for a first session of a user, for each of a plurality of lists of media content items, determines a respective value for each objective of a first set of objectives and a second set of objectives by accessing contextual data for the first session of the user. The first set of objectives corresponds to the user and the second set of objectives corresponds to a second party distinct from the user. The electronic device, using a multi-arm bandit model, identifies a first list of media content items, from the plurality of lists of media content items, to present to the user, including: calculating a score for each list in the plurality of lists of media items; and probabilistically selecting the first list of media content items according to the respective scores corresponding to the respective lists in the plurality of lists of media items. | 2022-01-20 |
20220019923 | SUPERVISED INFINITE BINARY MATRIX GENERATION DEVICE, METHOD, AND PROGRAM - There is provided a supervised infinite binary matrix generation device that generates a binary matrix allowing humans to understand the meaning of each dimension. An input unit | 2022-01-20 |
20220019924 | METHODS AND SYSTEMS OF ACCESSING SENSOR-BASED DRIVING DATA - Techniques are disclosed for accessing sensor-based driving data that includes detecting a waking event associated with an application and activating the application in response to detecting the waking event. Activity data for a recorded time interval preceding the waking event may be used to detect a missed trip by: identifying a first time in which the activity data indicates a high probability of automotive activity and identifying a second time in which the activity data indicates a low probability of automotive activity, wherein the second time instant occurs after the first time. The missed trip may correspond to a first time interval that extends between the first time and the second time. Sensor data may then be received for a second time interval that begins prior to the first time and ends after the second time. | 2022-01-20 |
20220019925 | ARCHITECTURE AND METHOD FOR PROVIDING INSIGHTS IN NETWORKS DOMAIN - The invention is ontology-based architecture for performing semantic data mining for insights. The major components of the architecture are illustrated using Network Ontology (NO), an ontology generated for the network domain for delivering improved network management. In addition, algorithms for summarizing performance profiles in the form of rank tables and for extracting insight rules (concrete action plan) from the rank tables are presented. By using this approach, an actionable plan for assisting decision maker can be obtained, as domain knowledge is incorporated in the system. Experimental results on a network dataset show that this model provides an optimal action plan for a network to improve its performance by encoding data-driven rules into the ontology and suggesting changes to its current network configuration. | 2022-01-20 |
20220019926 | APPARATUS AND METHOD FOR FUZZING FIRMWARE - An apparatus for fuzzing firmware according to an embodiment includes an emulator that provides a user mode emulation environment for firmware installed in any Internet of Things (IoT) device, a generator that generates one or more test cases in which at least some of a plurality of pre-set mutation operators are applied to at least one of a plurality of seed files, and an executor that executes mutation-based fuzzing on the firmware in the user mode emulation environment based on the one or more test cases. | 2022-01-20 |
20220019927 | QUBIT PULSE CALIBRATION VIA CANARY PARAMETER MONITORING - Systems and techniques that facilitate qubit pulse calibration via canary parameter monitoring are provided. In various embodiments, a system can comprise a measurement component that can measure a canary parameter associated with a qubit control channel. In various embodiments, the system can further comprise a scaling component that can modify a plurality of parameters associated with the qubit control channel via a scaling factor. In various cases, the scaling factor can be based on the canary parameter. In various embodiments, the canary parameter can be a rotation error of a qubit driven by a microwave pulse transmitted along the qubit control channel. In various embodiments, the plurality of parameters can be amplitudes of a plurality of microwave pulses transmitted along the qubit control channel. In various embodiments, the plurality of parameters can be phases of a plurality of microwave pulses transmitted along the qubit control channel. | 2022-01-20 |
20220019928 | MAJORANA LOOP STABILIZER CODES FOR ERROR CORRECTION OF FERMIONIC QUANTUM SIMULATIONS - Methods, systems and apparatus for error correction of fermionic quantum simulation. In one aspect, a method includes representing a fermionic system as a graph of vertices and edges, where each vertex represents a fermionic system fermionic mode and each edge represents an interaction between two respective fermionic modes; allocating a qubit to each edge in the graph to form a qubit system; determining qubit operators that satisfy a set of fermionic commutation and dependence relations, where the qubit operators are non-uniform with respect to the graph vertices; determining stabilizer operators corresponding to products of quadratic Majorana operators on respective loops in the graph, where a common eigenspace of the defined stabilizer operators defines a code subspace that encodes states of the fermionic system to be simulated; and simulating the fermionic system by evolving the qubit system under a qubit Hamiltonian that includes the determined qubit operators and stabilizer operators. | 2022-01-20 |
20220019929 | ERROR REDUCTION AND, OR, CORRECTION IN ANALOG COMPUTING INCLUDING QUANTUM PROCESSOR-BASED COMPUTING - The systems, devices, articles, and methods described herein generally relate to analog computers, for example quantum processors comprising qubits, couplers, and, or cavities. Analog computers, for example quantum processor based computers, are the subject of various sources of error which can hinder operation, potentially reducing computational accuracy and speed. Sources of error can be broadly characterized, for example as i) a background susceptibility do to inherently characteristics of the circuitry design, ii) as an h/J ratio imbalance, iii) bit flip errors, iv) fidelity, and v) Anderson localization, and various combinations of the aforesaid. | 2022-01-20 |
20220019930 | Secure Non-Deterministic, Self-Modifiable Computing Machine - Based upon the principles of randomness and self-modification a novel computing machine is constructed. This computing machine executes computations, so that it is difficult to apprehend by an adversary and hijack with malware. These methods can also be used to help thwart reverse engineering of proprietary algorithms, hardware design and other areas of intellectual property. | 2022-01-20 |
20220019931 | INCREASING REPRESENTATION ACCURACY OF QUANTUM SIMULATIONS WITHOUT ADDITIONAL QUANTUM RESOURCES - Methods, systems and apparatus for simulating physical systems. In one aspect, a method includes the actions of selecting a first set of basis functions for the simulation, wherein the first set of basis functions comprises an active and a virtual set of orbitals; defining a set of expansion operators for the simulation, wherein expansion operators in the set of expansion operators approximate fermionic excitations in an active space spanned by the active set of orbitals and a virtual space spanned by the virtual set of orbitals; performing multiple quantum computations to determine a matrix representation of a Hamiltonian characterizing the system in a second set of basis functions, computing, using the determined matrix representation of the Hamiltonian, eigenvalues and eigenvectors of the Hamiltonian; and determining properties of the physical system using the computed eigenvalues and eigenvectors. | 2022-01-20 |
20220019932 | AUTOMATIC GENERATION OF ODATA SERVICES FROM SKETCHES USING DEEP LEARNING - Methods, systems, and computer-readable storage media for receiving, by an Open Data Protocol (OData) service generation platform, an image of a sketch on a physical artifact, processing the image using a set of ML models to detect depiction of two or more entities and at least one association between entities, the set of ML models including at least one layout analysis ML model to identify two or more sections within images, at least one object detection ML model to identify one or more of entities and associations in each section of the two or more sections, and at least one text recognition ML model to determine text associated with entities in sections, generating an entity data model (EDM) based on output of the ML models that includes the two or more entities and the at least one association, and providing an OData service based on the EDM. | 2022-01-20 |
20220019933 | ESTIMATION OF GLOBAL THERMAL CONDITIONS VIA COSIMULATION OF MACHINE LEARNING OUTPUTS AND OBSERVED DATA - A heat flow modeler preprocesses geological and heat flow data for an earth formation for inputting into a plurality of supervised learning models. The heat flow modeler trains the plurality of supervised learning models on the preprocessed geological data to estimate heat flow throughout the earth formation. The heat flow modeler interpolates the estimated heat flow values to a set of desired locations in the earth formation and cosimulates the preprocessed heat flow values with the interpolated heat flow values as auxiliary variables to generate a cosimulated heat flow map. A final heat flow map is generated by rasterizing the cosimulated heat flow map. | 2022-01-20 |
20220019934 | SYSTEM FOR ARTIFICIAL INTELLIGENCE-BASED ELECTRONIC DATA ANALYSIS IN A DISTRIBUTED SERVER NETWORK - A system for artificial intelligence-based electronic data analysis in a distributed server network is provided. In particular, the system may comprise a distributed computing network comprising one or more decentralized nodes, each of which may store a separate copy of a distributed data register. The system may further comprise one or more specialized nodes which receive, assess, and analyze user input data, as well as use natural language processing (“NLP”) to provide outputs to the user, which may be written to the distributed data register. In this way, the system provides a secure and transparent way of performing data analysis and storing data regarding the decisioning processes of the system. | 2022-01-20 |
20220019935 | UTILIZING MACHINE LEARNING MODELS WITH A CENTRALIZED REPOSITORY OF LOG DATA TO PREDICT EVENTS AND GENERATE ALERTS AND RECOMMENDATIONS - A device may receive log data from application logs associated with applications, service logs associated with services, and server logs associated with server devices. The device may store the log data. The device may perform natural language processing on the log data to convert the log data into event data identifying events associated with categories. The device may process the event data, with a first machine learning model, to identify patterns in the event data and to generate an alert based on the patterns. The device may process the event data, with a second machine learning model, to generate a correlation matrix for the event data and to predict an event based on the correlation matrix. The device may process the event data, with a third machine learning model, to classify the event data based on the categories and to generate a recommendation based on classifying the event data. | 2022-01-20 |
20220019936 | MACHINE LEARNING FEATURE RECOMMENDATION - A specification of a desired target field for machine learning prediction and one or more tables storing machine learning training data are received. Within the one or more tables, eligible machine learning features for building a machine learning model to perform a prediction for the target field are identified. The eligible machine learning features are evaluated using a pipeline of different evaluations to successively filter out one or more of the eligible machine learning features to identify a set of recommended machine learning features among the eligible machine learning features. The set of recommended machine learning features is provided for use in building the machine learning model. | 2022-01-20 |
20220019937 | APPARATUS AND METHOD FOR PREDICTING TRANSFORMER STATE IN CONSIDERATION OF WHETHER OIL FILTERING IS PERFORMED - A method of predicting a transformer state in consideration of whether oil filtering is performed includes receiving, by a transformer state prediction apparatus, transformer data of a transformer, determining, by the transformer state prediction apparatus, whether an oil of the transformer is filtered on the basis of the transformer data, and predicting, by the transformer state prediction apparatus, a state of the transformer on the basis of different prediction models depending on whether the oil is filtered. | 2022-01-20 |
20220019938 | UNBALANCED SAMPLE CLASSIFICATION METHOD AND APPARATUS - The present disclosure provides an unbalanced sample classification method and an unbalanced sample classification apparatus. The method includes: obtaining unbalanced sample data; calculating a sample contribution rate based on the sample data and the characteristic data; filtering out a part of the sample data within a preset sample contribution threshold according to the sample contribution rate to determine as target sample data; and inputting the target sample data into a sample classification model to calculate a sample classification result through a classification algorithm. By using two variables of the characteristic value contribution rate and the characteristic contribution rate, the characteristics and samples with low contribution rate for classification are eliminated to effectively reducing the processing of unbalanced sample data, and a machine learning classification algorithm can be used on this basis to adopt the effective characteristics or samples to achieve efficient classification. | 2022-01-20 |
20220019939 | METHOD AND SYSTEM FOR PREDICTING MOTION-OUTCOME DATA OF A ROBOT MOVING BETWEEN A GIVEN PAIR OF ROBOTIC LOCATIONS - Systems and a method for predicting motion-outcome data of a robot moving between a given pair of robotic locations. Data on a given pair of robotic locations are received as input data. A function trained by a machine learning algorithm is applied to the input data, wherein a related robotic motion-outcome data is generated as output data. The robotic motion-outcome data is provided as output data. | 2022-01-20 |
20220019940 | SERVER AND LEARNING SYSTEM - A server of the present disclosure includes: a storage unit that stores multiple pieces of device information that respectively correspond to multiple devices, that are supplied respectively from the multiple devices, and that each include information about a corresponding one of the devices; a processing unit that determines, on the basis of the multiple pieces of device information, one or more devices that are to perform learning processing, out of the multiple devices; and a communication unit that instructs the one or more devices to execute the learning processing. | 2022-01-20 |
20220019941 | USING A CLIENT-SIDE MACHINE LEARNING MODEL DYNAMICALLY IN A MOBILE ENTERPRISE APPLICATION ON A MOBILE DEVICE - A computer-implemented method comprises receiving by a servers of a development platform, an upload of a trained ML model and configuration data from a tenant user, for use by a mobile enterprise application that is made available to one or more tenants of the development platform, the mobile enterprise application capable of invoking the trained ML model, wherein the configuration data defines an input data format and an output data format of the trained ML model, The server generates API based on the configuration data and downloading the API to the mobile enterprise application, wherein the generating the API is performed without using an API provided by the tenant user. The generated API is further configured to pass input in the input data format to the trained ML model and configured to receive output in the output data format from the trained ML model for further processing or display. | 2022-01-20 |
20220019942 | WORK SET SELECTING DEVICE, WORK SET SELECTION METHOD, AND WORK SET SELECTION PROGRAM - A work set selecting device | 2022-01-20 |
20220019943 | AUTOMATED TRAINING AND SELECTION OF MODELS FOR DOCUMENT ANALYSIS - Embodiments are directed to a machine learning engine that determines training documents and validation documents from a plurality of documents. The machine learning engine may determine attributes associated with the documents. In response to receiving a request to predict attribute values of a selected document the machine learning engine may train a plurality of ML models to predict the attribute values based on the training documents and the attributes and associate the trained ML models with an accuracy score. The machine learning engine may determine candidate ML models from the trained ML models based on the training accuracy scores. The machine learning engine may evaluate and rank the candidate ML models based on the request and the validation documents. The machine learning engine may generate confirmed ML models based on the ranked candidate ML models such that the confirmed ML models may answer the request. | 2022-01-20 |
20220019944 | SYSTEM AND METHOD FOR IDENTIFYING AND MITIGATING AMBIGUOUS DATA IN MACHINE LEARNING ARCHITECTURES - Machine learning systems are valuable for processing data in many scenarios including understanding objects and the environment in mixed reality systems. The present disclosure provides ambiguity-aware machine learning methods and systems that are capable of identifying input data that will potentially lead to erroneous predictions arising from training data ambiguity; capable of learning to identify training data as ambiguous during the training process; and, capable of adjusting the training process to account for training data that is Ambiguous. | 2022-01-20 |
20220019945 | METHOD OF PROVIDING ELECTRONIC DATA, SYSTEM, AND TERMINAL APPARATUS - A method of providing electronic data performed by a terminal apparatus includes: storing, in a memory of the terminal apparatus, electronic data output by an electronic device during a use of a first resource in association with reservation information of the first resource; and transmitting the reservation information stored in association with the electronic data to an information processing terminal associated with a second resource, which is different from the first resource. | 2022-01-20 |
20220019946 | SYSTEMS AND METHODS FOR GENERATING AND UPDATING TRAVEL ITINERARIES - A system is configured to: determine an itinerary based on inputs received from a client device associated with a first user, user profiles associated with other users, and a user profile associated with the first user; generate a warning signal based on status signals received from the client device, the warning signal indicating at least one of a cancellation of a first event in the itinerary or a delay of the first event in the itinerary; determine an adjustment to be made to the itinerary based on the warning signal; provide the adjustment to the client device; receive a feedback signal from the client device, the feedback signal indicating that the adjustment be made to the itinerary; and adjust the itinerary according to the adjustment. | 2022-01-20 |
20220019947 | Enhancing Data-Analytic Visualizations With Machine Learning - This document describes techniques and apparatuses for enhancing data-analytic visualizations of a data analytics system. A computing device captures input data and output data associated with a data-analytic visualization generated by an advanced user using the data analytics system. The input data and output data are mapped together for defining the data-analytic visualization generated. A machine learning model is trained relative to the mapped input data and output data for generating the data-analytic visualization. During a normal usage of the data analytics system by a user, the trained model generates data-analytic visualizations to suggest to the user responsive to input data from the user. An optional threshold is set and applied relative to the data-analytic visualizations generated. If a data-analytic visualization meets the threshold, the data analytics system reports the data-analytic visualization. | 2022-01-20 |
20220019948 | System and Method for Controlling Motion of a Bank of Elevators - A control system for controlling motion of elevators of a bank of elevators uses a neural network trained for an extended destination prediction of a person based on a partial trajectory of the person to produce a multinomial of the extended destination prediction. The multinomial has at least two dimensions including a first dimension of destinations of the person and a second dimension of time intervals of the person arriving at the destinations of the first dimension. The control system optimizes a schedule of the bank of elevators based on the multinomial, and further controls the bank of elevators according to the schedule. | 2022-01-20 |
20220019949 | SAFETY MANAGEMENT ASSISTANCE SYSTEM, AND CONTROL PROGRAM - Sufficient safety is ensured even when workers and machines coexist and work in cooperation. A safety management assistance system | 2022-01-20 |
20220019950 | COMPUTER-BASED INFORMATION MANAGEMENT SYSTEM CONFIGURED FOR AUTOMATED AND DYNAMIC ACCOUNT ANALYSIS AND METHODS THEREOF - Systems and methods of the present disclosure enable user-level activity recordation using population level activity data by receiving operator data including a record of activities performed by users on an operator system. Each entry in the record of activities is parsed to form structured activity entries representing each activity executed on the operator system. Each entry in the record of activities is matched to an individual account in an account database based on an individual identifier of each entry and an account individual identifier identifying the individual account. A statistical metric representing the activity history of the individual account is produced based on each entry matched to the individual account, and an activity history dashboard is displayed on an operator computing device to depicts the statistical metric for the individual account. | 2022-01-20 |
20220019952 | FAIR SCHEDULING OF NURSES IN RESOURCE CONSTRAINED SETTINGS - Systems and methods for determining a schedule assigning individuals to shifts are provided. A plurality of constraints for scheduling individuals to shifts is received. The plurality of constraints comprise one or more hard constraints and one or more soft constraints. A schedule assigning the individuals to the shifts is determined that 1) satisfies the one or more hard constraints and 2) distributes deviations from the one or more soft constraints across the determined schedule. The determined schedule is output. In one embodiment, the individuals are nurses. | 2022-01-20 |
20220019953 | PRODUCTION PLAN CREATION DEVICE AND NON-TRANSITORY COMPUTER READABLE MEDIUM - A production plan creation device includes a processor configured to acquire information about multiple tasks performed to produce a product using resources, determine a provisional order of two or more tasks among the multiple tasks while accounting for a predetermined condition for performing the multiple tasks, create a provisional plan in which resources are assigned in an order obtained by correcting the provisional order to account for the condition, and create a candidate plan on a basis of an evaluation of the provisional plan. | 2022-01-20 |
20220019954 | SYSTEMS AND METHODS FOR AUTOMATED PATTERN DETECTION IN SERVICE TICKETS - Systems and methods pattern detection in service tickets are disclosed. According to one embodiment, an analytics computer application may: (1) determine a service ticket threshold for an Information Technology (IT) resource; (2) receive a plurality of service tickets for the IT resource; (3) pre-process text of the plurality of service tickets; (4) identify keyword patterns in the pre-processed text of the plurality of service tickets; (5) group the plurality of service tickets into subsets of service tickets based on the keyword patterns; (6) determine that a number of service tickets in one of the subsets of service tickets exceeds the service ticket threshold; (7) identify an IT component associated with the subset of service tickets; (8) identify users affected by the IT component; and (9) notify the users affected by the IT component of an issue with the IT component. | 2022-01-20 |
20220019955 | APPLIED COMPUTER TECHNOLOGY FOR HIGH EFFICIENCY VALUE STREAM MANAGEMENT AND MAPPING AND PROCESS TRACKING - Methods, non-transitory computer readable media, and computing devices are disclosed that obtains and stores a mapping of status values to process-blocks within stages associated with a linear process performed on an enterprise application network. A work item status in change records of the database is correlated with the status values based on the mapping to identify one of the stages for work items. Event records are then generated based on the correlation, activity records of the database, and another correlation of a unique identifier of one of the work items in each of the change and activity records. A generated value stream map (VSM) is then output for display that comprises a graphical timeline of activity associated with the linear process and metrics generated based on the event records and comprising real-time metrics for the process-blocks or stages and aggregate metrics for the linear process. | 2022-01-20 |
20220019956 | WORKFORCE SENTIMENT MONITORING AND DETECTION SYSTEMS AND METHODS - Exemplary implementations may provide a workforce sentiment and structure descriptions. A survey management tool can solicit and retrieve ratings data from employees via a survey. The received ratings can be aggregated and scaled according to employee ratings to identify and adjust for the impact of influential employees. An organizational chart may be updated based on the survey results and users may navigate the updated organizational chart to review employee ratings. | 2022-01-20 |
20220019957 | METHOD, APPARATUS, AND COMPUTER PROGRAM OF PROVIDING REWARD-TYPE PRACTICAL TRAINING TO PRACTICAL TRAINING PARTICIPANT IN CROWDSOURCING-BASED PROJECT - A method of providing reward-type practical training to a practical training participant in a crowdsourcing-based project that enables more actual work practice by providing, as practical training, a practical training participant with tasks that are the same as those performed by a real worker, is provided. | 2022-01-20 |
20220019958 | MULTIFACETED PROJECT MANAGEMENT RESOURCE SCHEDULING - DESCRIBED HEREIN ARE SYSTEMS, APPARATUS, METHODS AND COMPUTER PROGRAM PRODUCTS CONFIGURED FOR DETERMINATION OF RECOMMENDED PROJECT TEAMS BASED ON IMPERFECT INFORMATION. IN CERTAIN EMBODIMENTS, A DISTANCE FUNCTION MAY BE UTILIZED TO DETERMINE THE RECOMMENDED PROJECT TEAM AND/OR DETERMINE ACTIONS TO BE TAKEN TO IMPROVE A POTENTIAL PROJECT TEAM. THUS, FOR EXAMPLE, PROJECT TEAM MEMBERS MAY BE RECOMMENDED FOR UPSKILLING BEFORE THE PROJECT KICKS OFF. UPSKILLING OF CERTAIN MEMBERS MAY ALLOW FOR OPTIMIZATION OF THE PROJECT TEAM. ADDITIONAL OPTIMIZATION MAY ALSO BE RECOMMENDED AND/OR PERFORMED, AS DESCRIBED HEREIN. | 2022-01-20 |
20220019959 | System, Method, and Computer Program Product for Dynamically Interpreting, Learning, and Synchronizing Information to Help Users with Intelligent Management of Work - Systems, methods, and computer program products dynamically interpret, learn, and synchronize information to help users intelligently manage work and to improve project management tools. The system and method include receptors and interfaces for data exchange with user devices and modules that will connect, monitor, keep and present the data. Additionally, the user devices and modules monitor security and actions to be taken. A computerized nervous system with an artificial intelligence engine learns, applies, and evolves the method continuously. The system also includes storage of historical and ongoing management related data to enable projection algorithms to function and contribute to enterprise knowledge management and community intelligence. The systems and methods can be housed in external, internal, or hybrid clouds. The data exchanged can be in voice, video, text, or other formats, that are supported by current devices. The receptors/interfaces will transmit the data to and from the devices. The artificially intelligent engine and components allow for secure interaction with other systems and automation of management work. | 2022-01-20 |
20220019960 | UniTOS Universal Transportation Operating System - A Universal Transportation Operating System (UniTOS) with Next-Best Move provides for the application of packet-switching and defragmentation algorithms to the determination of optimal time and location for delivery and/or receipt of both intangible and tangible payloads. | 2022-01-20 |
20220019961 | Autonomous Vehicle with Interchangeable, Multipurpose Carts and Related Systems and Methods - Disclosed herein are various configurable, multifunctional area management carts that can be used to perform various functions in a large area such as a warehouse or retail building, along with various multifunctional area management systems that incorporate such carts to perform such functions. The cart can have a base comprising wheels operably coupled to the base, and a hitch operably coupled to the base, wherein the hitch is coupleable with the autonomous prime mover. The cart can also comprise an onboard processor associated with the base, wherein the onboard processor is in communication with the central processor, and an interface associated with the base, wherein the interface is in communication with the onboard processor. Certain alternative versions of the cart can also have at least one removable scaffold coupleable with the base, the at least one removable scaffold comprising at least one leg and at least one horizontal structure coupled to the at least one leg, and at least one area management instrument removably coupled to the at least one removable scaffold. | 2022-01-20 |
20220019962 | COMPUTER-IMPLEMENTED SYSTEMS AND METHODS FOR OPTIMIZATION OF A PRODUCT INVENTORY BY INTELLIGENT DISTRIBUTION OF INBOUND PRODUCTS USING PRODUCT ASSIGNMENT VALIDATION - Computer-implemented systems and methods for intelligent distribution of products are disclosed. The systems and methods may be configured to: receive a request to assign a product to a location; retrieve a plurality of attributes associated with the product from a system configured to store attributes of products; retrieve a plurality of rules from a rules system configured to store rules implemented for assigning a product to a location, the retrieved plurality of rules configured by a user using a user interface; determining the location to store the product by applying the retrieved plurality of attributes to the retrieved plurality of rules; and assigning the product to the determined location. | 2022-01-20 |
20220019963 | SYSTEM AND METHOD FOR TAKING ASSET INVENTORY ACROSS A WIDE AREA - A system for taking inventory over a wide area includes a database. The database stores a geofenced area divided into two or more waypoints and a route defined as path within the geofenced area across at least two waypoints. At least one mobile asset is disposed at a position in a yard corresponding to the at least one waypoint. The mobile asset has a readable tag having information about the asset thereon. An aerial vehicle having a tag reader flies along the route within the geofenced area for communicating with each tag along a route, reading the information and storing the information read from each tag. | 2022-01-20 |
20220019964 | ASSET MANAGEMENT SYSTEM AND METHOD - A method for tracking and storing unique asset information with respect to at least one asset comprises providing at least one asset having an associated tag, capturing the tag and associated asset properties to a device, wherein the associated asset properties include the global position of the device at the time of capturing the tag with the device, storing the tag and asset properties as asset information to a database wherein the asset information is associated with the tag and global position of the device, and displaying asset information associated with at least the stored tag. | 2022-01-20 |
20220019965 | COLD-CHAIN DELIVERY AND RETRIEVAL SYSTEM ON BASIS OF BLOCKCHAIN - The present invention relates to a cold-chain delivery and retrieval system on the basis of a blockchain, comprising: a supplier terminal operated by a supplier who supplies items; a customer terminal used by a customer to order the items supplied by the supplier; a single server or a plurality of servers connected via a blockchain; an item storage device which stores the items prior to being received by the customer, and is provided with a plurality of unit storage boxes previously allocated to each of a plurality of suppliers, and a cooling unit configured to keep the unit storage boxes in a refrigerated or frozen state, wherein each of the plurality of unit storage boxes varies a loading space thereof according to the size of an item being stored therein; and a container return device to which a container used for packaging or storing the item is returned, wherein the container performs the function of managing the temperature of items. | 2022-01-20 |
20220019966 | SHIPMENT VERIFICATION - In some embodiments, apparatuses and methods are provided herein useful to verify accuracy of a shipment. In some embodiments, items loaded to and/or unloaded from a delivery vehicle are scanned and compared to a delivery schedule, and a unique identifier is provided to confirm proper loading/unloading at a subsequent scheduled stop of the vehicle. | 2022-01-20 |
20220019967 | NO-TOUCH RETURN MAIL PROCESSING SYSTEM AND METHODS OF USE THEREOF - In some embodiments, an illustrative no-touch mail processing system may include a return mail processor (RMP) computer programed to receive a print file request of a customer; wherein the print file request was utilized to print mail pieces based on a print file comprised within the print file request; an image processing machine at the RMP configured to associate, in a no-touch manner, a returned mail piece based on the print file from the customer and an identification indicia on the returned mail piece; and a return mail processing machine (RMPM) at the RMP configured to utilize other information, that is not visible on the returned mail piece or through a send window of the returned mail piece, to cause a returned mail activity to be performed, in the no-touch manner, with the returned mail piece in accordance to a rule of the customer. | 2022-01-20 |
20220019968 | FACILITATING INITIATION OF CUSTOMER RETURNS - In certain embodiments, a system includes a processing system and tangible computer-readable media accessible by the processing system. The tangible computer-readable media may store software and a plurality of purchase order identifications. Each purchase order identification indicates a respective one of a plurality of purchase orders, and each purchase order identification is globally unique with respect to each other. The software when executed by the processing system is configured to perform operations. The operations include accessing a request comprising a first purchase order identification of the plurality of purchase order identifications. The request had been generated at a client device that had decoded the one of the plurality of purchase order identifications from an optical scan of a code provided with packaging of one or more products of the respective purchase order indicated by the first purchase order identification. The operations further include generating data for receipt by the client device. The data may comprise information that facilitates returning at least one of the one or more products. | 2022-01-20 |
20220019969 | Inventory Management Loadout System - An inventory management loadout system is a system that expedites the delivery of products in a warehouse or distribution center by simplifying the loading process. The system may include a support platform, a support wheel, a wheel frame, a plurality of tubular shelves, an inbound conveyor system, and an outbound conveyor system. The support platform supports the operation of the system. The support wheel enables the temporary storing of the products so that the products are ready to be loaded onto the corresponding truck. The wheel frame supports the load from the support wheel and enables the rotation of the support wheel. The plurality of tubular shelves facilitates the vertical storage of the products to prevent bottlenecking. The inbound conveyor system enables the loading of the products to the plurality of tubular shelves. The outbound conveyor system facilitates the unloading of the products from the plurality of tubular shelves. | 2022-01-20 |
20220019970 | METHOD AND SYSTEM FOR WAREHOUSE INVENTORY MANAGEMENT USING DRONES - A system that employs aerial drones for inventory management is disclosed. The system includes at least one aerial drone with an optical sensor, an indoor positioning system, and a controller on the aerial drone. The controller is communicatively coupled to the optical sensor and the indoor positioning system. The controller is configured to localize and navigate the aerial drone within a facility based on one or more signals from the indoor positioning system. The controller is further configured to detect identifiers attached to respective inventory items via the optical sensor and to store information associated with the detected identifiers in an onboard memory. The controller may be further configured to transmit the information associated with the detected identifiers to a warehouse management system. | 2022-01-20 |
20220019973 | PRODUCTION PLAN CREATION DEVICE AND NON-TRANSITORY COMPUTER READABLE MEDIUM - A production plan creation device includes a processor configured to determine, when creating a plan for multiple tasks performed to produce a product, multiple candidate plans having a most favorable value for each of multiple predetermined evaluation indicators, and cause the multiple candidate plans to be displayed such that the respective evaluation values of the multiple evaluation indicators are comparable. | 2022-01-20 |
20220019974 | TASK MULTI-ASSIGNMENT METHOD, APPARATUS, AND COMPUTER PROGRAM USING TIER DATA STRUCTURE OF CROWDSOURCING-BASED PROJECT - A task multi-assignment method using a tier data structure of a crowdsourcing-based project, the method being a task assignment method using a tier data structure of a crowdsourcing-based project of a multi-assignment method of duplicately assigning each task to a plurality of n different workers, includes: configuring an assignment tier storage including a queue into which task data corresponding to a task that is not assigned to the worker is enqueued, and one or more j | 2022-01-20 |
20220019975 | METHODS AND SYSTEMS FOR PROVIDING AUTHENTICATED FIDUCIARIES WITH ACCESS TO SECURED DIGITAL ASSETS - Methods and systems for authenticating fiduciary users before providing access to secured assets are disclosed. These methods and systems operate to provide access to a variety of different fiduciaries and provides for flexibility to specify varying types of validation and credentialing depending on the industry and licensing authority for the fiduciary. Fiduciary users may be authenticated via a variety of authentication methods which vary depending on the type of fiduciary user. If an authentication method returns a positive authentication result, a verification token is associated with the fiduciary user file to represent successful verification of the fiduciary via the associated authentication process. | 2022-01-20 |
20220019976 | SYSTEM AND METHOD TO IDENTIFY, MATCH, AND RANK CANDIDATES FOR TALENT ACQUISITION - Embodiments of the present invention disclose a method, computer program product, and system for talent acquisition. A method comprises receiving a job application from an Applicant, wherein the job application includes a resume and analyzing the job applicant of the Applicant to gather information about the Applicant. Creating an applicant profile based on the gathered information about the Applicant and comparing the applicant profile to an exemplar employee profile to determine if the Applicant is a good match for a job position that corresponds to the job application. Sending the applicant's profile, the exemplar employee profile, the comparison result, and the job application to a review contact. | 2022-01-20 |
20220019977 | System For Measuring And Promoting Diversity And Inclusion - A system for measuring and promoting diversity and inclusion having a computer, a user device in communication with said computer and being associated with a person, a questionnaire provided by said computer to said user device including a plurality of questions regarding attributes associated with at least one of the person's identity, interests, and career, a response to the questionnaire received by said computer from said user device, said response including answers to at least some of the questions, a database in communication with said computer for storing said questionnaire and response, a group device in communication with said computer, said group device collecting responses from a group of associated persons, a desired characteristic/skill submitted by said group device to said computer, said computer recommending at least one new person to the group based on at least in part on the diversity with the associated persons of the group. | 2022-01-20 |
20220019978 | Job Application System and Method - A job application system and method comprising receiving an application from a job candidate for an open position in response to a job posting, the job posting accessible on a job posting platform accessible on a personal computing device connected to an electronic network. The job posting including textual content and graphic content. In a preferred embodiment, the graphic content includes one or more pictorial interactive organizational charts. Using a prescreening algorithm, accepting or rejecting the application based on preset prescreening criteria. Notifying the job candidate on the acceptance or rejection. | 2022-01-20 |
20220019979 | Video Enhanced Time Tracking System and Method - A video enhanced time tracking system is provided. The system may include a video capturing device, software applications (such as an application running on the video capturing device), and a backend system. The application may include a time tracking application that tracks time simultaneously as the video capturing device captures video. The captured video and the tracked time information may be uploaded to the backend system where it may be stored and processed. The system may correlate the tracked time information with the captured video and provide it to a client for review. In some embodiments, the system also includes an image recognition system that recognizes the user to authenticate the user's identity, that recognizes the user's workspace to determine when the user is working, and that recognizes the work being performed to determine the client that the user may be working for. | 2022-01-20 |
20220019980 | SYSTEMS AND METHODS FOR REMOTE MOBILE REFUELING - Methods and systems for on-demand, remote fueling of vehicles can include a user device for displaying information to and receiving commands from a user, an operator device for displaying information to and receiving commands from a service provider, and a controller configured to communicate with any suitable number of user and operator devices to manage scheduling for service requests. The controller can receive a service request from a user device, the service request including request location and request timing information for a refueling operation, and can generate a service appointment for presentation to the service provider that includes a service location and service timing information based at least in part on the request location and request timing information. The controller can also communicate service information, to the user via the user device, when the service request has been completed. | 2022-01-20 |
20220019981 | ONLINE IN-PERSON MARKETPLACE - A system and method for providing online customer-business connection and scheduling is disclosed. The system is configured to communicatively interconnect a web server, and one or more client devices, over the Internet, The web server includes a memory having instructions stored thereon and a processor configured to execute the instructions on the memory to cause the web server to determine a usable capacity for a business for scheduling in-person appointments for providing goods and services to a customer, the usable capacity being a regional percentage set by an appropriate entity of a based upon current conditions in the region, accept an appointment request for a client appointment from a customer using one of the client devices, provide a set of available appointment times to the one of the customer in response to the appointment request, accept a selected appointment time from the set of available appointment times from the customer, schedule the selected appointment time for the customer to meet in-person with the business to conduct commerce, and provide reminders of the selected appointment to the customer and the business before the selected appointment. | 2022-01-20 |
20220019982 | METHOD AND SYSTEM FOR REAL TIME ASSIGNMENT OF SERVICEMEN IN AN EVENT OF FAULT DETECTION - The present disclosure provides a system for real time assignment of servicemen in an event of fault detection. A fault detection system receives a first set of data and a past experience data. In addition, the fault detection system analyses the first set of data and the past experience data. Further, the fault detection system determines one or more faults in a plurality of equipment installed in a facility. Furthermore, the ticket generation system generates a one or more tickets based on the one or more faults detected in the plurality of equipment installed in the facility. Moreover, the ticket generation system assigns a plurality of servicemen for handling the one or more faults. Also, the ticket generation system sends alert to the plurality servicemen along with a plurality of information about the one or more faults detected. | 2022-01-20 |
20220019983 | Systems and Methods for Determining Manufacturing Line Changes Over Requirements in the Food Industry - Disclosed is a system and a method for determining manufacturing line changes over requirements in the food industry. | 2022-01-20 |
20220019984 | System and method for a private and secure merchant payment system using a mobile wireless device - A secure payment system between a customer and a merchant uses a wireless device of the customer that receives a partial payment authorization record from a sales terminal of the merchant to include at least a merchant terminal identification and a payment amount to facilitate payment transaction via a customer portable wireless device from the customer to the merchant. The device has a receive sensor to receive the partial transaction record from the sales terminal and a function that activates a payment transaction function in the device. The payment function, on being activated, creates an encrypted payment data record including at least the merchant terminal identification, the payment amount, a personal code and the device identification code and transfers it over the global network to a central system. The device and the sales terminal receive from the central system a notification of the payment approval record. | 2022-01-20 |
20220019985 | Virtual Assistant Host Platform Configured for Interactive Voice Response Simulation - Aspects of the disclosure relate to using machine learning to simulate an interactive voice response system. A computing platform may establish a virtual assistant session with a mobile banking application executing on a mobile device, which may include authenticating at least one authentication credential associated with an online banking account. The computing platform may receive an assistance message from the mobile device requesting assistance. Using a machine learning model, the computing platform may identify an intent of the assistance message. The computing platform may generate a response message based on the intent of the assistance message. The computing platform may send the response message and one or more commands directing the mobile device to output an audio response file based on the response message to the mobile device, which may cause the mobile device to convert the response message into the audio response file and output the audio response file. | 2022-01-20 |
20220019986 | VECTORIZATION OF TRANSACTIONS - Certain aspects of the present disclosure provide techniques for vectorization of transactions including: receiving electronic transaction information of one or more transactions of a user; for each transaction of the one or more transactions: segmenting the electronic transaction information of the transaction into one or more transaction words; generating a second transaction description related to the transaction; and identifying a category of the transaction; generating, based on the corresponding identified categories of the one or more transactions, a set of transaction history data of the user; providing the set of transaction history data of the user as an input to a machine learned model trained to output a set of word embedding vectors; determining, based on an output of the machine learned model comprising a set of word embedding vectors, a set of similar merchants; and providing the set of similar merchants for display to the user. | 2022-01-20 |
20220019987 | MODULE - A module provided in a predetermined space of an operation panel of a transaction terminal device to input and output digital information, includes: a wireless unit, a scanner unit, and a housing. The housing has a first front surface member and a second front surface member, a lower side of the first front surface member projects toward an operator with respect to an upper side of the first front surface member, an upper side of the second front surface member projects toward the operator with respect to a lower side of the second front surface member, an antenna of the wireless unit is provided on a back side of the first front surface member, a lower side of the antenna projects toward the operator with respect to an upper side of the antenna, and the scanner unit reads a code through an opening of the second front surface member. | 2022-01-20 |
20220019988 | METHODS AND SYSTEMS OF A MULTISTAGE OBJECT DETECTION AND TRACKING CHECKOUT SYSTEM - A system for multistage object detection and tracking for realizing a cashierless checkout includes a mobile device. The mobile device includes a set of on-board sensors together installed to the shopping container. The on-board sensors could include multiple digital cameras viewing interior of the shopping container from different angles and positions. The on-board sensors detect and provide user activity data with respect to placement or removal of the items into or from the shopping container. The digital camera obtains a set of digital image frames associated with the unique signatures associated with various shopping items entering and leaving the interior region of the shopping container and communicates them to a mobile device comprising an on-device machine learning (ML) detection and tracking engine; and relay them to subsequent stages for improved accuracy and confidence to arrive at a go/no-go decision. | 2022-01-20 |
20220019989 | OPTIMIZED MULTIPLE DIGITAL WALLET PRESENTATION - Methods and systems for facilitating a digital wallet transaction are described herein. A service provider identifies and recommends the most applicable digital wallets for a user based on various factors, such as user location, type and amount of purchase, type of merchant, and/or mood of the user. The service provider may also rank the recommended digital wallets and/or determine how many should be presented to a user. During merchant checkout, the user is presented with the recommended digital wallets, and the user selects one of the digital wallets to fund the purchase. | 2022-01-20 |
20220019990 | SYSTEM AND METHOD FOR INTEGRATING DATA FROM A REMOTE SERVER WITH A CLIENT APPLICATION - The electronic device may invoke a host application. The device may display a first host user interface on the display, the first host user interface including a first host user interface component associated with a child application. In response, the device may invoke, using the host application, the child application executed at the electronic device. The device may transmit, using the host application, a request for data associated with a child user interface component to the child application. The device may transmit, using the child application, the request for data associated with the child user interface component to a child application server, wherein the data associated with the child user interface component is inaccessible by the host application. The device may receive, using the child application, the data associated with the child user interface component from the child application server. The device may display the child user interface component. | 2022-01-20 |